{"id":"W7084046922","doi":"10.12363/issn.1001-1986.25.02.0088","title":"Well spacing optimization technology for coalbed methane horizontal wells","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Coalbed methane; Chart; Maximization; Rationalization (economics); Structural basin; Flow chart; Pressure drop; Production (economics); Coal mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000394942,0.000513459,0.0004177207,0.0006303819,0.0003533636,0.0006879868,0.00060219,0.0003895209,0.00149404],"category_scores_gemma":[0.000595543,0.0002918994,0.0004160977,0.0005499335,0.0003243904,0.0007217164,0.0005985915,0.0003536943,0.0001921863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007833794,"about_ca_system_score_gemma":0.0008106952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950802,"about_ca_topic_score_gemma":0.002776723,"domain_scores_codex":[0.9997082,0.00003673752,0.00002190913,0.00005901141,0.0001218211,0.00005227195],"domain_scores_gemma":[0.9997631,0.00006308444,0.00006988368,0.00002259709,0.00006449976,0.00001696448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001274488,0.0001146769,0.004343478,0.0002377242,0.00001771052,0.0002285467,0.00009048259,0.854871,0.0685047,0.008561309,0.0005162827,0.06238666],"study_design_scores_gemma":[0.00001564223,0.0001359224,0.0008293561,0.00001362521,0.00001819274,0.000056462,0.00006864727,0.9632801,0.03158419,0.00255942,0.00141738,0.00002104114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3148126,0.001090923,0.6749294,0.0001953522,0.00004537232,0.0001134726,0.0001567467,0.0005501144,0.008106071],"genre_scores_gemma":[0.9340668,0.0002900393,0.06475479,0.00001232111,0.000004169108,0.00004799037,0.00006226974,0.0000153406,0.0007464278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001950802,"threshold_uncertainty_score":0.005683899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07567682239935485,"score_gpt":0.4973272156218058,"score_spread":0.421650393222451,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}